Hello, again.
Actually, you don't need to melt the data.frame, you can directly dcast
'myf' using value.var="count".
Rui Barradas
Em 20-06-2012 20:56, Rui Barradas escreveu:
Hello,
Try
library(reshape2)
mlt <- melt(myf, id=c("site", "bug"), measure="count")
myf2 <- dcast(mm, site ~ bug)
myf2[is.na(myf2)] <- 0
myf2
Hope this helps,
Rui Barradas
Em 20-06-2012 19:58, Tim escreveu:
I am trying to learn how to reshape my data set. I am new to R, so
please
bear with me. Basically, I have the following data set:
site<-c("A","A","B","B")
bug<-c("spider","grasshopper","ladybug","stinkbug")
count<-c(2,4,6,8)
myf <- data.frame(site, bug, count)
myf
site bug count
1 A spider 2
2 A grasshopper 4
3 B ladybug 6
4 B stinkbug 8
This means that in site A, I found 2 spiders and 4 grasshopper. In
site B,
I found 6 ladybugs and 8 stinkbugs.
I would like to change the df to aggregate the site column and make
the bugs
columns so it arranged like this:
site spider grasshopper ladybug stinkbug
1 A 2 4 0 0
2 B 0 0 6 8
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